Construction of a Classification Model for Bulk Cereal Grains from Diffuse Reflectance Spectra in the Near Infrared Region, Using Logistic Regression as an Example

2019 ◽  
Vol 86 (1) ◽  
pp. 106-111
Author(s):  
S. V. Protsenko ◽  
V. S. Mishurnaya ◽  
E. S. Voropai
Keyword(s):  
Logistic Regression ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Infrared Region ◽  
Reflectance Spectra ◽  
Classification Model ◽  
Cereal Grains ◽  
Diffuse Reflectance Spectra ◽  
Near Infrared Region

Method for Obtaining Improved Diffuse Reflectance Spectra in the near Infrared

1967 ◽  
Vol 21 (5) ◽  
pp. 339-342 ◽  
Author(s):  
A. F. Sklensky ◽  
J. H. Anderson ◽  
K. A. Wickersheim
Keyword(s):  
Diffuse Reflectance ◽  
Near Infrared ◽  
Reflectance Spectra ◽  
Diffuse Reflectance Spectra

Fractional Derivative Analysis of Diffuse Reflectance Spectra

1998 ◽  
Vol 52 (6) ◽  
pp. 840-846 ◽  
Author(s):  
Joseph M. Schmitt
Keyword(s):  
Fractional Derivative ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Reflectance Spectra ◽  
Background Concentration ◽  
Frequency Noise ◽  
Mathematical Tool ◽  
Diffuse Reflectance Spectra ◽  
Derivative Spectroscopy ◽  
Derivative Analysis

Fractional differentiation is introduced as a mathematical tool for analysis of diffuse-reflectance spectra. The quantity —log10 e/R dqR/ dλ q, where R is the measured reflectance and q is a real number greater than zero, is defined and shown to have properties analogous to those of the integer-order derivatives of log10(1/ R) that are commonly employed in near-infrared spectroscopy. Like conventional derivative spectroscopy, fractional derivative spectroscopy (FDS) is effective for reducing baseline variations and separating overlapping peaks. FDS has the additional benefit that it enables the user to control the weight given to the slope and curvature of spectral features and, therefore, provides greater flexibility in the choice of wavelengths for regression. FDS also enables the user to adjust the relative sensitivities of the regressions to constant offsets and high-frequency noise. An example is given in which FDS is used to estimate the concentration of hemoglobin in a scattering liquid containing a large background concentration of water.

scholarly journals Photolumineszenz und sensibilisierte IR-Emission der dreiwertigen Seltenen Erden in Ca3La2Te2O12

1985 ◽  
Vol 40 (7) ◽  
pp. 699-705 ◽  
Author(s):  
H.-D. Autenrieth ◽  
B. Kottmann ◽  
S. Kemmler-Sack
Keyword(s):  
Rare Earth ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Infrared Region ◽  
Host Lattice ◽  
Rare Earth Ions ◽  
New Host ◽  
Trivalent Rare Earth ◽  
Near Infrared Region ◽  
Ir Emission

By activation of the new host lattice Ca3La2Te2O12 with trivalent rare earth ions an emission in the visible (Ln3+=Sm, Eu, Tb, Dy, Ho, Er, Tm) or near infrared region (Nd, Ho, Er, Tm, Yb) is observed. Energy transfer from Nd3+ to Yb3+ , from Er3+, Yb3+ to Ho3+ and from Yb3+ to Tm3+ has been found to occur. The excitation, emission and diffuse reflectance spectra are analyzed.

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